Review on the Newest Revenue Management Demand Forecasting Methods

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 664

فایل این مقاله در 18 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

ICMEI01_184

تاریخ نمایه سازی: 14 آذر 1394

چکیده مقاله:

Revenue management is the application of integrated price and inventory control in a way that maximize company revenue. Demand forecasting plays a critical role in a successful revenue management system. Forecasting is an integral part of the decision making activity of management, so having a good estimate of future demand helps revenue management analyst to make good decisions about their inventory. In this paper we have reviewed the recent methods which are successfully implemented by researchers and practitioners in the field of revenue management. We have describe some of the newest methods in detail and the rest of classic methods in brief. We also have discussed these methods and mentioned their advantages and disadvantages

نویسندگان

Alireza Nikseresh

Ph.D Student, Software Systems, Department of Computer Science Engineering and IT, School of Electrical and Computer Engineering, Shiraz University

Koorush Ziarati

Associate Professor, Department of Computer Science Engineering and IT, School of Electrical and Computer Engineering, Shiraz University

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • . K. Talluri, G. Van Ryzin, 2004. Revenue management under ...
  • . Andersson, S., 1992. Passenger choice analysis for seat capacity ...
  • . B. C. Smith, J. F. Leimkuler, R. M. Darrow, ...
  • . C. C. Queenan, M. Ferguson, J. Higbie, and R. ...
  • . D. Mongomery, C. Jennings, M. Kulahci, 2002. Introduction to ...
  • . G. Vulcano, G. Van Ryzin, R. Ratliff, 2012. Estimating ...
  • . _ Vulcano, G. Van Ryzin, 2010. Om practi ce ...
  • . H. _ Celikoglu, H. K. Cigizoglu, 2001 . Public ...
  • . H. Widiarta, S. Viswanatan, R. Piplani, 2001. On the ...
  • . J. Newman, _ Garrow, M. Ferguson, T. L. Jacobs, ...
  • . Kalyan T. Talluri, G. J. Van Ryzin, 2002. The ...
  • . Kalyan T. Talluri, Garrett J. van Ryzin, Itir Z. ...
  • . KANDANAN OND, K., 2012. Consumer product demand forecasting based ...
  • . L. R. Weatherford, P. P. Belobaba, 2002. Revenue impacts ...
  • . L. R.Weatherford and S. Polt, 2002. Better unconstraining of ...
  • . L. R.Weatherford, S. E. Bodily, 1992. A taxonomy and ...
  • . L.R. Weatherford, 1991 . A review of optimization modeling ...
  • . L.R. Weatherford, 2000. Unconstraining methods. New York, AGIFORS Reservations ...
  • . Lee, A. O., 1990. Airline reservations forecasting probabilistic and ...
  • . M. Mozolin, J. C. T. L. U., 2000. Trip ...
  • . Peng Guo, Baichun Xiao, Jun Li, 2012. Unconstraining Methods ...
  • . R.D. Snyder, A. B. Koehler, J. K. Ord, 2002. ...
  • . R.G. Cross, 1991 . Revenue Management: Hard-Core Tactics for ...
  • . Sh. Sharif Azadeh, P. Marcotte, and G. Savard, 2014. ...
  • . Sh. Sharif Azadeh, R. Labib, G. Savard, 2013. Rilway ...
  • . Sh. SharifAzadeh; P. Marcotte; G. Savard;, 2012. A N ...
  • . Skwarek, D. K., 1992. Revenue and traffic impacts of ...
  • . Stefanescu, _ 2009. Multivariate customer demand: modeling and estimation ...
  • . T. TSAI, LEE, WEI, 2002. Design of dynamic neural ...
  • . W. L. Cooper, T. Homem- de-Mello _ and A. ...
  • . Xiaolong, Z., 2001. Inventory control under temporal demand hetero ...
  • . Zeni, R. H., 2001. Improved forecast accuracy in revenue ...
  • نمایش کامل مراجع